Aomni vs Trigify
An independent, review-free comparison compiled by the SaaSTracker editorial team. Both products are profiled in full, and neither can pay for placement here.
The short answer
Editorial assessmentTrigify compared with Aomni
Aomni is an AI research agent that goes deep on an account you already care about, building a thousand data points and a tailored account plan. Trigify tells you which accounts and people to care about in the first place. They solve adjacent halves of the same problem, and the honest answer for a small team is that Trigify comes first: research is worthless without a trigger, and Aomni's $300 per month is hard to justify until you have a steady stream of signals to research.
Choose Aomni if
Founders and sellers working a small list of high-value named accounts, where a two-hour research pass per company is the actual bottleneck and each deal is worth more than the entire annual subscription.
Choose Trigify if
Founder-led and small sales teams selling into markets where buyers are visibly active on LinkedIn, X, or Reddit, agencies running signal-based outbound for several clients at once, and technical GTM operators who want signals available through an API or MCP rather than trapped in a vendor dashboard.
Side by side
13 attributes| Attribute | Aomni | Trigify |
|---|---|---|
| Category | AI SDR | Signals |
| Starting price | $0 (Starter), then $300 per month (Pro) (free plan available) | $40 per month (Starter) (14 days trial) |
| Pricing model | Freemium with a flat Pro subscription covering three members plus per-seat expansion. Enterprise is quoted after a demo. | Self-serve credit-based subscription with per-plan caps on listening searches, workflows, and seats, plus published per-credit overage. |
| Free plan | Basic AI research, AI strategy, AI chat, and customizable deliverables at no cost with no credit card required. | No |
| Free trial | The free Starter tier is the trial; the vendor describes it as zero commitment with self-serve signup | 14 days on all self-serve plans |
| Best for | Founders and sellers working a small list of high-value named accounts, where a two-hour research pass per company is the actual bottleneck and each deal is worth more than the entire annual subscription. | Founder-led and small sales teams selling into markets where buyers are visibly active on LinkedIn, X, or Reddit, agencies running signal-based outbound for several clients at once, and technical GTM operators who want signals available through an API or MCP rather than trapped in a vendor dashboard. |
| Setup time | Minutes on the free tier: point it at an account and read what comes back. Pro adds mailbox and LinkedIn connections, which take an afternoon. There is no warmup phase because there is no cold-sending infrastructure. | An afternoon. Create an account, define one listening search against a competitor's post or a topic, connect Slack, and run a historical backfill. Getting a workflow with sensible ICP filters into production is more like a week of iteration. |
| Learning curve | Low to start, moderate to get full value. The default research output is immediately useful; building custom research workflows that encode your qualification criteria is where the product becomes genuinely differentiated, and that takes deliberate effort. | Moderate, and the difficulty is judgement rather than software. Building searches is easy; deciding which engagement actually indicates intent, and resisting the urge to sequence everyone the tool finds, is the skill that determines whether the tool works. |
| Platforms | Web application, Gmail and Outlook connections, LinkedIn, Calendar integrations | Web application, REST API, Command line interface, MCP server, Chrome-based workflows via integrations |
| Compliance | Not publicly detailed on the marketing site; enterprise customers are served through the Enterprise tier | GDPR obligations apply to enriched personal data, No publicly advertised SOC 2 attestation |
| Founded | 2023 | 2023 |
| Headquarters | San Francisco, California, United States | Cardiff, United Kingdom |
| Ownership | Venture-backed | Venture-backed |
Strengths and limitations
Aomni
Strengths
- The best research layer in this batch: waterfall enrichment across twenty-plus sources with its own deep-research pass rather than a single database lookup.
- Output is strategy rather than data, with account plans, stakeholder maps, and value propositions a seller can actually use in a conversation.
- A free tier with real capability makes it the cheapest way in the category to test whether AI research meets your standard.
- Pro at $300 covers three people flat, which beats per-seat pricing for a small AE team and includes unlimited research.
Limitations
- No sending infrastructure, no warmup, and no deliverability tooling, so this cannot be your outbound engine.
- CRM integration sits on the demo-gated Enterprise tier, which is a significant gap for a $300 a month product.
- Bulk research is Enterprise-only, so the self-serve plans are account-by-account by design.
- The vendor's claims of saving three hours per prospect and improving close rates by forty percent are marketing figures with no published methodology.
Trigify
Strengths
- Person-level social and community signals with a name attached, which is a fundamentally warmer starting point than an anonymous account-level intent score.
- A $40 entry price in a category where the established players start at thousands of dollars a month, which is the difference between a startup running a signal motion and not running one.
- Historical replay and backtesting let you start with a year of accumulated signals rather than waiting for new activity, so time to first value is days rather than a quarter.
- The API, CLI, and MCP server are unusual at this price and make Trigify usable as a data source inside a custom stack rather than only as an app.
Limitations
- The signal is only as good as your market's public behaviour, and entire industries are effectively invisible to it.
- A like or comment is a weak intent signal on its own, and the volume Trigify can produce makes it easy to build a high-volume, low-relevance outbound motion if you skip the filtering work.
- Public social platforms change their access rules regularly, which is a structural risk for any vendor whose core dataset is scraped from them.
- No website visitor identification, no product usage ingestion, and no third-party intent feed, so it covers one slice of the signal landscape rather than the whole picture.
Pricing compared
Aomni
Freemium with a flat Pro subscription covering three members plus per-seat expansion. Enterprise is quoted after a demo.
- Starter$0
- Pro$300
- EnterpriseCustom
Aomni is priced per unit of thinking, not per unit of volume, and that is the correct way to judge it. At $300 a month for three people, it costs less than a day of an AE's fully loaded time and replaces the two-hour research pass that would otherwise precede every serious account. For a team selling deals worth five figures or more, that is trivially good value. For a team selling $200 a month subscriptions to thousands of small businesses, it is an expensive way to write emails, because there is no sending engine and no volume mechanism to amortize the cost. The dividing line is deal size, and it is unusually sharp.
Trigify
Self-serve credit-based subscription with per-plan caps on listening searches, workflows, and seats, plus published per-credit overage.
- Starter$40
- Max$199
- EnterpriseCustom
Trigify is the cheapest credible way to run a signal-based motion, and the gap is not small. Starter at $40 a month buys person-level social signals, job change detection, enrichment, and workflow routing in a category where the recognised leaders start at $2,500 a month and $40,000 a year. Max at $199 with 40,000 credits and full API, CLI, and MCP access is arguably underpriced for what a technical team can build on top of it. The value case breaks only if your buyers are not publicly active, in which case no amount of cheap listening produces anything worth acting on. Judged against tools that own the same signal type, this is the best capability per dollar available to a small business.
Editorial verdict on each
Aomni
Aomni is the most intellectually honest product in this category because it refuses the part everyone else oversells. There is no autonomous digital rep here, no sending engine, and no meeting-booking claim. There is a research agent that does two hours of account preparation in a few minutes, across a waterfall of twenty-plus sources, and turns it into an account plan a seller can use in a real conversation. For a founder or a small AE team working named accounts worth five figures and up, $300 a month for three seats is close to a rounding error against the time it returns, and the free tier makes the decision empirical rather than theoretical. Two things to check before buying: CRM sync is an Enterprise feature, so at Pro the research may live outside the system your team works in, and the economics collapse if your deals are small. Ignore the forty percent close-rate claim entirely and judge it on three accounts you already know well.
Read the full Aomni profileTrigify
Trigify is the entry point to signal-based selling for companies that cannot spend $40,000 a year to find out whether signal-based selling works for them. It owns one signal type properly, public person-level social and community activity plus the job change and hiring events that surface there, and it delivers those signals all the way into a CRM, a Slack channel, or an AI agent rather than stopping at a dashboard. Buy it if your buyers post in public and you have the discipline to filter aggressively before you enrich. Do not buy it if your market is quiet online, if your best signal is on your own website or inside your product, or if you need a vendor that will pass an enterprise security review. At $40 a month with a 14-day trial, the cost of finding out is close to nothing, which is exactly the right shape for a small business testing a new motion.
Read the full Trigify profileAomni profile last reviewed 2026-08-22; Trigify last reviewed 2026-08-22. Pricing is compiled from public sources and can change without notice. See our methodology.